Research on calibration of three-mirror reflective space remote sensor using wavefront sensorless method

Position errors of three-mirror reflective space optical system will affect the whole system badly, so we have to calibrate these errors in orbit. This paper proposes a new method for the first time, which is: we can use Stochastic Parallel Gradient Descent algorithm to calibrate three-mirror reflective remote sensor, this method don't need wavefront sensor to calibrate position errors. It uses root mean square of radius of image as system merit, through controlling the six position of second mirror to compensate system error. This method is suitable for the calibration of three mirror reflective space optical system for its needless of using wavefront sensor. Results of the simulation show that compared with traditional sensitive matrix inversion algorithm, this method increases the dynamic range of initial position errors, and it can improve wavefront error from about 1 wave rms to lower than 0.04 wave rms in the center field of view.